Fast deep reinforcement learning using online adjustments from the past
Fast deep reinforcement learning using online adjustments from the past 文章出自 DeepMind，其提出了一種能夠更加充分利用 Replay buffer 歷史經驗數據的RL改進算法 ---- Ephemeral Value Adjusments (EVA)。 Contribution: 提出了一種新的算法 — Epheme
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相關文章
- 1. (轉) Deep Reinforcement Learning: Pong from Pixels
- 2. Deep Reinforcement Learning: Pong from Pixels
- 3. Deep Reinforcement Learning
- 4. LEARNING NOTES FROM DEEP LEARNING
- 5. Reinforcement Learning, Fast and Slow
- 6. Playing Atari with Deep Reinforcement Learning
- 7. Reinforcement learning and Deep learning
- 8. Relational Deep Reinforcement Learning
- 9. Language Understanding for TextGames using Deep Reinforcement
- 10. 【Deep Learning】Fast R-CNN